Associate Data Scientist - User Fraud
Role summary
We are seeking a Data Scientist to join our team focused on combating user fraud and abuse across our audio platform. You will play a key role in developing and enhancing detection and mitigation strategies using advanced technology and data-driven insights. Your work will directly contribute to maintaining platform integrity and ensuring a secure experience for users and creators. Responsibilities include investigating fraud trends, applying quantitative analysis and data mining techniques, building data tools for analysis, and collaborating with cross-functional teams. The ideal candidate has a Bachelor's degree in a quantitative field, 1+ years of experience in investigative data analysis and data pipelines, and expertise in SQL and Python.
We’re looking for a Data Scientist to join the band. You’ll help us expand detection and mitigation methods against abuse across all audio verticals on our platform. The team’s goal is to ensure a fraud-free experience for users and creators by employing advanced technology and evolving strategies to maintain fair engagement and accuracy.
As part of the team, you’ll contribute to our data-driven approach, protecting the platform's integrity from issues like account abuse and artificial manipulation. Your work will directly impact how billions of fans connect with millions of artists and creators, and how the world experiences content.
You’ll work with a team of data scientists and machine learning engineers to detect and prevent abuse on our platform. You’ll help us investigate anomalous trends, discover new ways to leverage data for improved detection methods, and identify unwanted behavior on the platform. We are a fast-paced team passionate about high-impact projects, and we prioritize continuous learning and skill development. You will have the freedom to refine your skills and working methods.
What You'll Do
Investigate evolving fraud trends and consumption habits to enhance detection capabilities.
Apply your expertise in quantitative analysis, data mining, and data presentation to help automate, optimize and understand key business problems and solutions.
Build data and tooling to empower operational and exploratory data analysis while optimizing for speed, accuracy, and quality.
Work closely with cross-functional teams of data and backend engineers, and product managers.
Partner with a broad range of stakeholders across music, podcasts and audiobooks to consistently uphold platform integrity.
Who You Are
A Bachelor's degree in Data Science, CS, or another quantitative field.
1+ years work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines.
Deep understanding of data with expertise in data manipulation and design (SQL) and experience in Python.
Strong analytical skills, with the ability to turn data into actionable insights and recommendations.
Strong problem-solving skills, intellectual curiosity, and a proactive approach to identifying new opportunities for fraud detection.
A continuous learner, excited by new technologies and able to pick up new tools and frameworks quickly.
Where You'll Be